Zobrazeno 1 - 10 of 165 pro vyhledávání: '"Susan J. Gross"'
1
Akademický článek
Late preterm antenatal corticosteroids in singleton and twin gestations: a retrospective cohort study
Autor: Luciana A. Vieira, Yu-Han Kao, Despina S. Tsevdos, Yan Kwan Lau, Zichen Wang, Shilong Li, Amanda B. Zheutlin, Susan J. Gross, Joanne L. Stone, Siobhan M. Dolan, Eric E. Schadt, Li Li
Publikováno v: BMC Pregnancy and Childbirth, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background In 2016, the American College of Obstetricians and Gynecologists recommended antenatal corticosteroids in the late preterm period for women at risk for preterm delivery. Limited real-world evidence exists on neonatal outcomes, par
Externí odkaz: https://doaj.org/article/690d6ce1a82c43a298df76bac4c4b5d1
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2
Akademický článek
Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data
Autor: Shilong Li, Zichen Wang, Luciana A. Vieira, Amanda B. Zheutlin, Boshu Ru, Emilio Schadt, Pei Wang, Alan B. Copperman, Joanne L. Stone, Susan J. Gross, Yu-Han Kao, Yan Kwan Lau, Siobhan M. Dolan, Eric E. Schadt, Li Li
Publikováno v: npj Digital Medicine, Vol 5, Iss 1, Pp 1-16 (2022)
Abstract Preeclampsia is a heterogeneous and complex disease associated with rising morbidity and mortality in pregnant women and newborns in the US. Early recognition of patients at risk is a pressing clinical need to reduce the risk of adverse outc
Externí odkaz: https://doaj.org/article/f7dd65b8756b4da2b60e0a23520b716d
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3
A comprehensive digital phenotype for postpartum hemorrhage
Autor: Amanda B Zheutlin, Shilong Li, Joanne Stone, Eric E. Schadt, Siobhan M Dolan, Emilio Schadt, Zichen Wang, Luciana Vieira, Ryan A Shewcraft, Li Li, Yu-Han Kao, Susan J. Gross
Publikováno v: Journal of the American Medical Informatics Association : JAMIA
Objective We aimed to establish a comprehensive digital phenotype for postpartum hemorrhage (PPH). Current guidelines rely primarily on estimates of blood loss, which can be inaccurate and biased and ignore complementary information readily available
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1abda0e1999e464458f097b238f4684c
https://doi.org/10.1093/jamia/ocab181
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4
Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records
Autor: Susan J. Gross, Luciana Vieira, Li Li, Shilong Li, Joanne Stone, Emilio Schadt, Ryan A Shewcraft, Eric E. Schadt, Zichen Wang, Amanda B Zheutlin, Siobhan M Dolan
Publikováno v: Journal of the American Medical Informatics Association : JAMIA
Objective Postpartum hemorrhage (PPH) remains a leading cause of preventable maternal mortality in the United States. We sought to develop a novel risk assessment tool and compare its accuracy to tools used in current practice. Materials and Methods
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feda711a85d04d4cecef5259df920f38
http://europepmc.org/articles/PMC8757294
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5
Introduction to Perinatal Disorders and Reproductive Genetics
Autor: Susan J. Gross
Publikováno v: Emery and Rimoin's Principles and Practice of Medical Genetics and Genomics ISBN: 9780128152362
Emery and Rimoin's Principles and Practice of Medical Genetics and Genomics
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9ad42835495665696e489b18d9b80f44
https://doi.org/10.1016/b978-0-12-815236-2.00001-1
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6
Improving Pre-eclampsia Risk Prediction by Modeling Individualized Pregnancy Trajectories Derived from Routinely Collected Electronic Medical Record Data
Autor: Boshu Ru, Alan B. Copperman, Emilio Schadt, Pei Wang, Susan J. Gross, Zichen Wang, Joanne Stone, Luciana Vieira, Eric E. Schadt, Li Li, Amanda B Zheutlin, Shilong Li
Preeclampsia (PE) is a heterogeneous and complex disease associated with rising morbidity and mortality in pregnant women and newborns in the US. Early recognition of patients at risk is a pressing clinical need to significantly reduce the risk of ad
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::de1cec9718b51247b4b88a4a30d89540
https://doi.org/10.1101/2021.03.23.21254178
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7
Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records
Autor: Zichen Wang, Joanne Stone, Shilong Li, Emilio Schadt, Li Li, Eric E. Schadt, Susan J. Gross, Luciana Vieira, Amanda B Zheutlin
ObjectivePostpartum hemorrhage (PPH) remains a leading cause of preventable maternal mortality in the US. Our goal was to develop a novel risk assessment tool and compare its accuracy to those used in current practice.Materials and MethodsWe used a P
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::88dd201fdf06397b19c48e2a2fa224ff
https://doi.org/10.1101/2021.03.16.21253746
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8
A comprehensive digital phenotype for postpartum hemorrhage
Autor: Zichen Wang, Eric E. Schadt, Joanne Stone, Emilio Schadt, Shilong Li, Susan J. Gross, Amanda B Zheutlin, Luciana Vieira, Li Li
ObjectiveWe aimed to establish a comprehensive digital phenotype for postpartum hemorrhage (PPH). Current guidelines rely primarily on estimates of blood loss, which can be inaccurate and biased, and ignore a suite of complementary information readil
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::943fb92ff82c1d51ad1d88cdb809e34d
https://doi.org/10.1101/2021.03.01.21252691
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9
A streamlined model for use in clinical breast cancer risk assessment maintains predictive power and is further improved with inclusion of a polygenic risk score
Autor: John Lai, Susan J. Gross, Richard Allman, Erika L. Spaeth, John L. Hopper
Publikováno v: PLoS ONE, Vol 16, Iss 1, p e0245375 (2021)
PLoS ONE
Five-year absolute breast cancer risk prediction models are required to comply with national guidelines regarding risk reduction regimens. Models including the Gail model are under-utilized in the general population for various reasons, including dif
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e42b6171bda6de11616293c1c1b97793
https://doaj.org/article/7429ae8b49f44cd687ce8f74b7181894
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